4 of 4 Apache Airflow Jobs in East London

Data Engineer

Hiring Organisation
Data Careers
Location
South East London, London, United Kingdom
Employment Type
Contract
Contract Rate
£700 - £800 per day
Data Engineer 6 Month Contract Location: London (Onsite 4 days a week) Rate: £700 - £800 per day (INSIDE IR35) Skills: Python, Azure, Kubernetes, Apache Airflow, Apache Spark, DV Clearance We are looking to recruit a DV Cleared Data Engineer for a leading technology consultancy. This will … Work across Azure environments on the low side Support data engineering workloads within Kubernetes environments on the high side Develop and maintain workflows using Apache Airflow Work with Apache Spark for large-scale data processing Support the ongoing development and improvement of established data pipelines Help ensure ...

Contract - Senior Data Engineer (Snowflake Cortex)

Location
London Borough of Barking and Dagenham, England, United Kingdom
compliant solutions that align with GDPR and healthcare data governance standards Stack: Snowflake | Snowflake Cortex | AWS - S3, Glue, Lambda, Step Functions | Python | SQL | dbt | Airflow| Terraform | Docker | GitHub CI/CD Requirements Must have advanced SQL and Python + experience delivering modern cloud-based data platforms Must have enterprise ...

Senior Platform Engineer

Hiring Organisation
Workable Software Limited
Location
South East London, London, United Kingdom
Employment Type
Permanent, Work From Home
production problems and taking responsibility for critical infrastructure. Startup Mindset: Proactive, resourceful and comfortable taking ownership in a fast-moving engineering environment. Bonus : with Apache Airflow, real-time data platforms, AI/ML infrastructure, LLM agents, GPU infrastructure or financial-market systems. Benefits An Ambitious, Collaborative Culture: Join ...

Senior Software Engineer II

Hiring Organisation
Stepstone UK
Location
South East London, London, United Kingdom
Employment Type
Permanent
cloud-native architectures, with experience shaping technical direction across teams and stakeholders Solid expertise in relevant technologies such as AWS, Terraform, Kafka/MSK, Airflow, Glue or Spark, and building scalable data solutions Experience with modern data ecosystems including data lakes/lakehouse architectures, Iceberg or similar table formats ...